mirror of https://github.com/apache/kafka.git
97 lines
5.8 KiB
Properties
97 lines
5.8 KiB
Properties
##
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##
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# This file contains some of the configurations for the Kafka Connect distributed worker. This file is intended
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# to be used with the examples, and some settings may differ from those used in a production system, especially
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# the `bootstrap.servers` and those specifying replication factors.
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# A list of host/port pairs to use for establishing the initial connection to the Kafka cluster.
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bootstrap.servers=localhost:9092
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# unique name for the cluster, used in forming the Connect cluster group. Note that this must not conflict with consumer group IDs
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group.id=connect-cluster
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# The converters specify the format of data in Kafka and how to translate it into Connect data. Every Connect user will
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# need to configure these based on the format they want their data in when loaded from or stored into Kafka
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key.converter=org.apache.kafka.connect.json.JsonConverter
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value.converter=org.apache.kafka.connect.json.JsonConverter
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# Converter-specific settings can be passed in by prefixing the Converter's setting with the converter we want to apply
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# it to
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key.converter.schemas.enable=true
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value.converter.schemas.enable=true
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# Topic to use for storing offsets. This topic should have many partitions and be replicated and compacted.
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# Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
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# the topic before starting Kafka Connect if a specific topic configuration is needed.
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# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
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# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
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# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
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offset.storage.topic=connect-offsets
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offset.storage.replication.factor=1
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#offset.storage.partitions=25
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# Topic to use for storing connector and task configurations; note that this should be a single partition, highly replicated,
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# and compacted topic. Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
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# the topic before starting Kafka Connect if a specific topic configuration is needed.
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# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
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# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
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# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
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config.storage.topic=connect-configs
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config.storage.replication.factor=1
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# Topic to use for storing statuses. This topic can have multiple partitions and should be replicated and compacted.
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# Kafka Connect will attempt to create the topic automatically when needed, but you can always manually create
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# the topic before starting Kafka Connect if a specific topic configuration is needed.
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# Most users will want to use the built-in default replication factor of 3 or in some cases even specify a larger value.
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# Since this means there must be at least as many brokers as the maximum replication factor used, we'd like to be able
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# to run this example on a single-broker cluster and so here we instead set the replication factor to 1.
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status.storage.topic=connect-status
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status.storage.replication.factor=1
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#status.storage.partitions=5
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# Flush much faster than normal, which is useful for testing/debugging
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offset.flush.interval.ms=10000
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# List of comma-separated URIs the REST API will listen on. The supported protocols are HTTP and HTTPS.
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# Specify hostname as 0.0.0.0 to bind to all interfaces.
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# Leave hostname empty to bind to default interface.
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# After this parameter is set, rest.host.name/port will not take effect.
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# Examples of legal listener lists: HTTP://myhost:8083,HTTPS://myhost:8084"
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#listeners=HTTP://:8083
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# These are provided to inform the user about the presence of the REST host and port configs
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# Hostname & Port for the REST API to listen on. If this is set, it will bind to the interface used to listen to requests.
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# DEPRECATED As of 1.1.0: only used when listeners is not set. Use listeners instead.
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#rest.host.name=
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#rest.port=8083
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# The Hostname & Port that will be given out to other workers to connect to i.e. URLs that are routable from other servers.
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# If not set, it uses the value for "listeners" or the rest.host.name/port if configured.
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#rest.advertised.host.name=
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#rest.advertised.port=
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#rest.advertised.listener=
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# Set to a list of filesystem paths separated by commas (,) to enable class loading isolation for plugins
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# (connectors, converters, transformations). The list should consist of top level directories that include
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# any combination of:
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# a) directories immediately containing jars with plugins and their dependencies
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# b) uber-jars with plugins and their dependencies
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# c) directories immediately containing the package directory structure of classes of plugins and their dependencies
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# Examples:
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# plugin.path=/usr/local/share/java,/usr/local/share/kafka/plugins,/opt/connectors,
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#plugin.path=
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